Advances in machine learning and signal processing enabling expansion of after-etch metrology applications

YieldStar AEI, also known as In-Device Metrology (IDM), has been enabling device overlay metrology targeting DRAM, 3DNAND, and logic applications. Recently, enhanced understanding of IDM signal and its connection to target patterns has inspired new developments in the signal-processing and machine-learning algorithms that lie at the core of IDM. This has led to expansion of IDM capabilities and its applications, namely joint tilt and overlay metrology, small target overlay applications in logic, and multiple-depth CD metrology.

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Published
2025-02-21
DOI
https://doi.org/10.1117/12.3054121
Primary Topic
Advancements in Photolithography Techniques
Type
article
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Advances in machine learning and signal processing enabling expansion of after-etch metrology applications

Giulio Bottegal, Koen Thuijs, I‐Ju Chen, Gaurav Nanda et al.
Advancements in Photolithography Techniques
article

Advances in machine learning and signal processing enabling expansion of after-etch metrology applications

Giulio Bottegal, Koen Thuijs, I‐Ju Chen, Gaurav Nanda, Dennis Loeffen, R. Cotesta, Remco Dirks, Xuewen Liu, M. Jongen, Alok Verma, Mark Yi-Hsuan Chiang, Sjoerd Wiarda, Iwan Akkermans, Bodhi Hopman
article en

Abstract

YieldStar AEI, also known as In-Device Metrology (IDM), has been enabling device overlay metrology targeting DRAM, 3DNAND, and logic applications. Recently, enhanced understanding of IDM signal and its connection to target patterns has inspired new developments in the signal-processing and machine-learning algorithms that lie at the core of IDM. This has led to expansion of IDM capabilities and its applications, namely joint tilt and overlay metrology, small target overlay applications in logic, and multiple-depth CD metrology.

ASML (Netherlands) (NL)
Openalex Percentile: Top 98%
Advancements in Photolithography Techniques
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Advances in machine learning and signal processing enabling expansion of after-etch metrology applications — Giulio Bottegal, Koen Thuijs, et al. · (2025) | TGRS Research Map | TGRS